EP4346964A1 - Hotte à oxygène hyperbare portable (phbo) pour patients atteints de la covid-19 - Google Patents

Hotte à oxygène hyperbare portable (phbo) pour patients atteints de la covid-19

Info

Publication number
EP4346964A1
EP4346964A1 EP22816531.2A EP22816531A EP4346964A1 EP 4346964 A1 EP4346964 A1 EP 4346964A1 EP 22816531 A EP22816531 A EP 22816531A EP 4346964 A1 EP4346964 A1 EP 4346964A1
Authority
EP
European Patent Office
Prior art keywords
hood
phbo
patient
oxygen
value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP22816531.2A
Other languages
German (de)
English (en)
Inventor
Rashid Mazhar
Nabil SHALLIK
Uvais QIDWAI
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hamad Medical Corp
Original Assignee
Hamad Medical Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hamad Medical Corp filed Critical Hamad Medical Corp
Publication of EP4346964A1 publication Critical patent/EP4346964A1/fr
Pending legal-status Critical Current

Links

Classifications

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    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
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    • A61M16/06—Respiratory or anaesthetic masks
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    • A61G10/00—Treatment rooms or enclosures for medical purposes
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Definitions

  • the Sars-CoV-2 (COVID-19) pandemic has resulted in significant and unprecedented shifts in the delivery of health care services in the United States.
  • COVID-19 patients the percentage of patients with severe and critical COVID-19 was reported to be 13.8% and 4.7%, respectively.
  • the most likely cause of death was a severe acute respiratory failure (ARF). It is believed that if means of respiratory support, such as continuous positive airway pressure (CPAP) and noninvasive ventilation (NIV), can be chosen correctly and implemented in time, the fatality in severe patients could be reduced.
  • CPAP continuous positive airway pressure
  • NIV noninvasive ventilation
  • a PHBO hood system may include a main hood, a neck sleeve configured to be disposed below the main hood, a pump system configured to control a pressure in the main hood to create hyperbaric environment in the PHBO hood system, and an intelligent controller.
  • the pump system may include a pump and a flow line configured to supply oxygen to the main hood via the pump.
  • the intelligent controller may be configured to receive an oxygen saturation value of a patient, receive an oxygen concentration value of the flow line, determine a target pressure of the main hood based on the oxygen saturation value and the oxygen concentration value, and control the pump system to change the pressure of the main hood to the target pressure.
  • the main hood may be configured to cover a head of the patient and the neck sleeve may be configured to surround a neck of the patient so that only the head and the neck of the patient are exposed to the hyperbaric environment when the patient uses the PHBO hood system, thereby enabling the PHBO hood system to be easily moved to a place where the patient is located.
  • the place may include an intensive care unit.
  • the main hood may include one or more intervention ports that may allow a physical touch of a head or a neck of the patient without decompressing the main hood and without removing the main hood from the patient when the patient is wearing the main hood.
  • the one or more intervention ports may include one or more intervention gloves.
  • the PHBO hood system may include a pillow base configured to be coupled with the main hood and receive a pillow for the patient.
  • the pillow base may be configured to be coupled with the main hood via one or more slide connectors.
  • the neck sleeve may include at least one of a suction vent, a gas or air vent, and a speaker and microphone system.
  • the neck sleeve may include a joint configured to open and close the neck sleeve to receive a neck of the patient.
  • the intelligent controller may be configured to utilize deep learning algorithms to develop an intelligent model to optimize operating conditions of the PHBO hood system for the patient.
  • the intelligent controller may be configured to generate a target pressure map using the deep learning algorithms.
  • the intelligent controller may be configured to: set the target pressure to have a high value responsive to determining that the oxygen saturation value is low and the oxygen concentration value is high; and set the target pressure to have a middle value responsive to determining that the oxygen saturation value is low and the oxygen concentration value is low.
  • the intelligent controller may be configured to: set the target pressure to have a high value responsive to determining that the oxygen saturation value is middle and the oxygen concentration value is middle; and set the target pressure to have a middle value responsive to determining that the oxygen saturation value is middle and the oxygen concentration value is low.
  • the intelligent controller is configured to: set the target pressure to have a low value responsive to determining that the oxygen saturation value is high and the oxygen concentration value is high; set the target pressure to have a middle value responsive to determining that the oxygen saturation value is high and the oxygen concentration value is middle; and set the target pressure to have a high value responsive to determining that the oxygen saturation value is high and the oxygen concentration value is low.
  • the PHBO hood system may further comprise a sensor configured to measure the oxygen saturation value of the patient.
  • the senor may be configured to be worn on a finger of the patient.
  • a portable hyperbaric oxygen (PHBO) hood system may include: a hood, a pump system configured to control a pressure in the hood to create hyperbaric environment in the PHBO hood system, and an intelligent controller.
  • the pump system may include a pump and a flow line configured to supply oxygen to the hood via the pump.
  • the intelligent controller may be configured to: receive an oxygen saturation value of a patient, receive an oxygen concentration value of the flow line, determine a target pressure of the main hood based on the oxygen saturation value and the oxygen concentration value, and control the pump system to change the pressure of the main hood to the target pressure.
  • the hood may be configured to cover a head and a neck of the patient so that only the head and the neck of the patient are exposed to the hyperbaric environment when the patient uses the PHBO hood system, thereby enabling the PHBO hood system to be easily moved to a place where the patient is located.
  • the hood may include a main hood configured to cover the head of the patient, and a neck sleeve configured to be disposed below the main hood and surround the neck of the patient.
  • aspects of the present disclosure may provide several advantages over existing HBO therapy, such as bringing HBO therapy to the patient’s point-of-care, removing the need for moving a patient. This may provide a significant benefit when there is a need to treat a patient who is critically ill and infected with highly infectious diseases, such as COVID-19. Additionally, aspects of the present disclosure may provide optimized operating conditions for a patient, utilizing deep learning algorithms.
  • FIG. 1 is a diagram of a PHBO hood system according to an example embodiment of the present disclosure.
  • FIG. 2 is a diagram of an example neck sleeve of the PHBO hood system of Fig.
  • FIG. 3 is a diagram of an example hood of a PHBO hood system according to an example embodiment of the present disclosure.
  • Figs. 4(a)-4(d) are diagrams of an example process of operating an intelligent controller of a PHBO hood system: 4(a) overall process, 4(b) output variable ‘Pressure’, 4(c) input variable SpOi . and 4(d) input variable O2FI0W’.
  • Fig. 5 is a diagram of a target pressure map/decision surface.
  • Hyperbaric oxygen (HBO) therapy may be an alternative to the current ventilation support system.
  • HBO therapy may refer to a treatment modality in which patients are enclosed in a hyperbaric chamber that enables inhalation of 100% oxygen at 2-3 times atmospheric pressure.
  • HBO therapy may be performed in a monoplace (single -person occupancy) or multiple (multiple person occupancy) chamber. In the United States, most hyperbaric chambers are located within hospital settings.
  • HBO therapy may increase the partial pressure of oxygen in plasma and tissues and may be commonly used in the treatment of decompression sickness, carbon monoxide intoxication, arterial gas embolism, necrotizing soft tissue infections, chronic skin ulcers, severe multiple trauma with ischemia, and ischemic diabetic foot ulcers.
  • the PHBO hood system may include a main hood comprising intervention ports with pressure hatches and slide connectors; a pillow base with slide connectors; a neck sleeve comprising a suction vent, gas and air vents, speaker and microphone system, joints for opening and closing, and slide connectors; and an intelligent controller.
  • the PHBO hood system may include three interlocking segments: the main hood, the pillow base, and the neck sleeve. These three components may be configured to be assembled together.
  • the PHBO hood system may cover the head and neck of the patient.
  • the main hood may have two gloved portals for the caregiver to interact with the patient and may be configured to collect data through the automatic measuring of respiratory rate, pressure, flow rate, Sp02, and capnography.
  • the intelligent controller may be configured to obtain the oxygen saturation data from a SpC sensor fitted on the fingertip of the patient. This data is then applied to a pump driver system to change its operating point in order to appropriately change the pressure in the hood.
  • the PHBO hood system may utilize deep learning algorithms to develop an intelligent model for the best-operating conditions for a patient.
  • the control scheme may use a deep learning algorithm that may utilize Fuzzy Control logic, with the logic incorporating data and practices learned from the operation of similar systems.
  • the intelligent controller may be configured to process the data collected from the patient via deep learning algorithms to develop an intelligent model for the best- operating conditions for the patient.
  • the intelligent model may be configured to determine optimized operating conditions, such as automated air-breaks, partial pressures, and Fi02 titrations.
  • the PHBO hood system may include oxygen inlet and outlet tubes and medical lines connected to the hood through air-sealed portals.
  • the oxygen inlet and outlet tubes connected to the hood may be configured to have virucidal UV-C LED lights from UV chambers.
  • the neck sleeve may be removably connected to the oxygen inlet and outlet tubes and the medical lines through air-sealed portals.
  • the pillow base may include pillow and slide connectors.
  • the PHBO hood system may include an oxygen generator, and an intelligent controller.
  • the hood may be connected to the oxygen generator via the oxygen inlet and outlet tubes configured to have virucidal UV-C LED lights from the UV chambers.
  • the intelligent controller may collect oxygen saturation level data of the patient and utilize the deep learning algorithms to provide the intelligent model determining the best- operating conditions for the patient.
  • Fig. 1 illustrates a PHBO hood system 100 according to an example embodiment of the present disclosure.
  • the PHBO hood system may include a hood 110, a pump system 140, and an intelligent controller 160.
  • the hood 110 may be configured to cover a head and a neck of a patient.
  • the hood 110 may be airtight, for example, once it is worn by a patient.
  • the hood 110 may include a main hood 120 and a neck sleeve 130.
  • the main hood 120 may be configured to cover the head of the patient.
  • the neck sleeve 130 may be configured to be disposed below the main hood 120 and surround the neck of the patient.
  • the neck sleeve 130 may include a hole in the center thereof to receive the neck of the patient.
  • the neck sleeve may include a sealing member (e.g., rubber seal, silicon pad, or any other suitable sealing member) to provide an airtight sealing of the hood 110, for example, while a patient is wearing the hood 110 (e.g., the main hood 120 and the neck sleeve 130).
  • a sealing member e.g., rubber seal, silicon pad, or any other suitable sealing member
  • the main hood 120 and the neck sleeve 130 may be a separate component and removably attached to each other.
  • the main hood 120 and the neck sleeve 130 may be a single component.
  • the main hood 120 may be transparent.
  • the main hood 120 may be not transparent (e.g., translucent) or may have both transparent and non-transparent portions.
  • the pump system 140 may control a pressure in the hood 110 to create hyperbaric environment in the PHBO hood system 100 (e.g., in the hood 110).
  • the pump system 140 may include a pump 150 and a flow line 142 configured to supply oxygen to the hood 110 via the pump 150.
  • the pump system 140 may further include an oxygen source/generator 144 (e.g., oxygen tank) connected to the flow line 142.
  • the oxygen source/generator 144 e.g., oxygen tank
  • the pump system 140 may further include an oxygen sensor/controller 143.
  • the oxygen sensor/controller may be disposed on the flow line 142.
  • the oxygen sensor/controller 143 may be in communication with the intelligent controller 160. For example, the oxygen sensor/controller 143 may detect the oxygen concentration value/data of the flow line and transmit the value/data to the intelligent controller 160.
  • the pump system 140 may further include an oxygen inlet 151 and an oxygen outlet 152.
  • Each of the oxygen inlet 151 and the oxygen outlet 152 may be connected between the hood 110 and the pump 150.
  • the oxygen (and/or any other gas) from the oxygen source/generator 144 may be supplied (from the pump 150) to the hood 110 through the oxygen inlet 151.
  • the oxygen and any other gas (e.g., air, exhaled CO2) in the hood 110 may be discharged from the hood 110 through the oxygen outlet 152, for example, to the pump 150.
  • the pump system 140 may further include UV chambers disposed on the oxygen inlet 151 and the oxygen outlet 152.
  • the UV chambers may include an inlet UV chamber 153 and an outlet UV chamber 154.
  • the inlet and outlet UV chambers 153, 154 may deactivate or destroy viruses in the oxygen or gas transmitted through the respective oxygen inlet and outlet 151, 152.
  • the inlet and outlet UV chambers 153, 154 may transmit virucidal UV-C UED lights into the oxygen inlet and outlet 151, 152.
  • the hood 110 may include one or more intervention ports.
  • the one or more intervention ports 121, 122 may be in a form of a pressure hatch.
  • the one or more intervention ports 121, 122 may allow medical lines/tubes to exit through the intervention ports 121, 122.
  • the one or more invention ports may include a first intervention port 121 and a second intervention port 122.
  • the first/second intervention port 121/122 may allow a physical touch (by a physician) of the head or the neck of the patient without decompressing the hood 110 (e.g., without breaking the hyperbaric environment) and/or without removing the hood 110 from the patient when the patient is wearing the hood 110.
  • the one or more intervention ports 121, 122 may include one or more intervention gloves 123, 124.
  • a physician may be able to interact with and/or check the patient (e.g., head or neck of the patient) using the intervention ports/gloves.
  • the neck sleeve 130 may include one or more gas or air vents.
  • the one or more gas or air vents may include a first vent 131 and a second vent 132.
  • the first vent 131 may be connected to the oxygen inlet 151
  • the second vent 132 may be connected to the oxygen outlet 152.
  • the oxygen or any other gas from the oxygen inlet 151 may be transmitted into the hood 110 through the first vent 131.
  • the oxygen or any other gas in the hood 110 may be vented out into the oxygen outlet 152 through the second vent 132.
  • the neck sleeve 130 may further include a suction vent 134.
  • the suction vent 134 may be provided for effluent aspiration.
  • any liquid form of waste, such as saliva or water from the mouth of the patient can be discharged through the suction vent 134.
  • the neck sleeve may 130 further include a speaker and microphone system.
  • the neck sleeve 130 may include a speaker 137 and a microphone 138.
  • the patient can communicate with a physician through the speaker and microphone system.
  • the neck sleeve 130 may further include one or more joints 135. The joint may open and close the neck sleeve 130 to receive a neck of the patient.
  • the main hood 120 and the neck sleeve 130 are formed as a single component, the main hood 120 may also have one or more joints to receive the neck and head of the patient.
  • the PHBO hood system 100 may include an oxygen saturation level sensor 170.
  • the oxygen saturation level sensor 170 may measure the oxygen saturation value of the patient.
  • the oxygen saturation level sensor 170 may be worn on a finger of the patient. In other examples, the oxygen saturation level sensor 170 may be worn on any other part of the patient.
  • the PHBO hood system 100 may further include one or more sensors to detect/measure the respiratory rate and pressures (e.g., pressure in the hood).
  • the PHBO hood system 100 may further include one or more sensors for capnography (e.g., measurement of exhaled CO2) or for the measurement of any other vital signs (e.g., temperature) of the patient.
  • the one or more sensors may be disposed on or in the hood 110. In other examples, the one or more sensors may be disposed in any other suitable portion of the PHBO hood system 100.
  • Fig. 3 illustrates an example hood 200 of a PHBO hood system according to another example embodiment of the present disclosure.
  • the hood 200 may include a main hood 220, a neck sleeve 230, and a pillow base 240.
  • the main hood 220 and the neck sleeve 230 may be similar to or same as the main hood 120 and the neck sleeve 130 described above and, thus, duplicate description may be omitted.
  • the pillow base 240 may include a pillow for the patient.
  • the pillow base 240 may be assembled with the main hood 220 and the sleeve neck 230 to form an airtight hood 200 (e.g., hood 110).
  • the pillow base 240 may be coupled with the main hood 220 through slide connectors.
  • the pillow base 240 may include slide connectors 245 that can be coupled with the corresponding slide connectors 225 of the main hood 220.
  • the pillow base 240 may be coupled with the main hood 220 using any other suitable coupling method.
  • the neck sleeve 230 may also include slide connectors.
  • the main hood 220, the pillow base 240, and the neck sleeve 230 may be assembled via the slide connectors thereof.
  • the neck sleeve 230 may be assembled with the main hood 220 and the pillow base 240 using any other suitable assembling method.
  • the intelligent controller 160 may utilize deep learning algorithms.
  • the intelligent controller 160 may process data collected from the patient (e.g., data from the sensors in the system 100 and any other related data) via deep learning algorithms to develop an intelligent model for the best-operating conditions for the patient.
  • the intelligent model may determine optimized operating conditions, such as automated air-breaks, partial pressures, and Fi02 titrations.
  • Figs. 4(a)-4(d) are diagrams of an example process of operating the intelligent controller 160 of the PHBO hood system 100.
  • the intelligent controller 160 may receive an oxygen saturation value (SpCh) of the patient and an oxygen concentration value (ChFlow) of the flow line 142.
  • Fig. 4(c) may illustrate a diagram for example oxygen saturation data (SpCh)
  • Fig. 4(d) may illustrate a diagram for example oxygen concentration data (ChFlow) of the flow line 142.
  • These two values may be used as an input variable for the intelligent controller 160.
  • the intelligent controller 160 may receive the oxygen saturation value (e.g., normalized Sp02 voltage value) and the oxygen concentration value (e.g., normalized oxygen concentration) from the oxygen saturation level sensor 170 and the oxygen sensor/controller 143, respectively.
  • the oxygen saturation value e.g., normalized Sp02 voltage value
  • the oxygen concentration value e.g., normalized oxygen concentration
  • the intelligent controller 160 may determine a target pressure of the hood 100 based on the oxygen saturation value and the oxygen concentration value.
  • the target pressure e.g., normalized pressure in the hood 110
  • Fig. 4(b) may illustrate example output variable “pressure” data.
  • Fig. 4(a) illustrates the overall process of operating the intelligent controller 160.
  • the intelligent controller 160 may control the pump system 150 to change the pressure of the hood 110 to the target pressure.
  • Fig. 5 is a diagram showing an example target pressure map/decision surface.
  • the target pressure may be expressed in the form of a decision surface/target pressure map (e.g., changing target pressure values depending on the changes to the input variables Sp02 and 02Flow).
  • the intelligent controller 110 may operate according to the determined target pressure map/decision surface.
  • the target pressure map/decision surface may be generated using the deep learning algorithms.
  • the input variables (e.g., Sp02 and 02Flow) of the intelligent controller 160 may be clustered into membership functions with values ranging from ‘LOW’ to ‘HIGH’ with a number of intermediate clusters to define the significance of the input value to the overall impact of the input to the control scheme. Based on the membership values, some rules may be constructed. When all the input values are exhaustively implicated in through the rules, a target pressure map/decision surface may be generated.
  • the input and/or output values may be normalized.
  • the normalization of each value may be carried out based on the actual scales for that quantity. For example, Sp02 may be expressed/measured in terms of percent saturation, 02Flow may be expressed/measured in terms of percent concentration, and the pressure may be expressed/measured in terms of Bars (e.g., maximum 4 bars).
  • the intelligent controller 160 may set the target pressure to have a high value responsive to determining that the oxygen saturation value is low and the oxygen concentration value is high. In some examples, the intelligent controller 160 may set the target pressure to have a middle value responsive to determining that the oxygen saturation value is low and the oxygen concentration value is low.
  • the intelligent controller 160 may set the target pressure to have a high value responsive to determining that the oxygen saturation value is middle and the oxygen concentration value is middle. In some examples, the intelligent controller 160 may set the target pressure to have a middle value responsive to determining that the oxygen saturation value is middle and the oxygen concentration value is low. [0056] In some examples, the intelligent controller 160 may set the target pressure to have a low value responsive to determining that the oxygen saturation value is high and the oxygen concentration value is high. In some examples, the intelligent controller 160 may set the target pressure to have a middle value responsive to determining that the oxygen saturation value is high and the oxygen concentration value is middle. In some examples, the intelligent controller 160 may set the target pressure to have a high value responsive to determining that the oxygen saturation value is high and the oxygen concentration value is low.
  • the intelligent controller 160 may set the target pressure to have a middle value responsive to determining that the oxygen saturation value is low and the oxygen concentration value is middle. In some examples, the intelligent controller 160 may set the target pressure to have a high value responsive to determining that the oxygen saturation value is middle and the oxygen concentration value is high. In some examples, these methods of controlling the pressure may be used for the rules to generate the target pressure map/decision surface.
  • the target pressure map / decision surface may be optimized (e.g., by the intelligent controller 160) for each patient.
  • each patient may be unique in terms of the controller thresholds defined by the decision surface. Therefore, a parallel computation may be performed to develop a simple multi-variable regression model that may provide the behaviour biases and can be used to scale the original decision surfaces.
  • Such a model may be given by the following generic equation:
  • Equation 2 the model coefficients (ai, and bi) are estimated using various time-based samples of Sp02 values ( S ,), 02Flow values (/',). and hood pressure values (/',). A set of the coefficient values may then be further investigated in order to establish a pattern that could relate factors such as age, co-morbidity, profession, ethnicity, and physical health in terms of scaling factors to the intelligent controller. This may produce insight on how different patients may react differently to the same treatment, thereby improving the current treatment practices related to Covid-19 or similar epidemics.
  • the HBO therapy in the related art is delivered in a designated mono-place or multi -place chambers where the patient’s whole body is subject to hyperbaric environment and 100% oxygen is delivered either by face mask or a head-hood.
  • moving the critically ill, highly infective patients (with Covid-19) to these designated places might be risky and could be impossible in some circumstances.
  • Aspects of the present disclosure may provide a PHBO hood system having a hood that is configured to cover a head (e.g., by the main hood) and a neck (e.g., by the neck sleeve) of the patient so that only the head and the neck of the patient are exposed to the hyperbaric environment when the patient uses the PHBO hood system.
  • PHBO hood system 100 may be easily moved to a place where the patient is located (e.g., intensive care unit, high dependency unit, home, etc.). Also, since the patient does not have to be moved to a designated location for the HBO treatment, the risk of exposing other people (e.g., in the hospital) to COVID-19 can be reduced significantly.
  • the PHBO hood system can be used in various situations/conditions, including decompression illness (DCI), air or gas embolism, anemia due to severe blood loss, carbon monoxide poisoning, bums resulting from heat or fire, skin grafts, arterial insufficiency, or low blood flow in the arteries, acute traumatic ischemia/ crush injury, during cancer radiotherapy, gas gangrene, necrotizing soft tissue infections, osteomyelitis, a bone marrow infection, and/or some brain and sinus infections.
  • DCI decompression illness
  • PHBO hood system may include unstable angina, evolving stroke, at reception of severe injury while blood transfusion is being prepared, during CPR, pre-radiotherapy, as a routine, MS relapse, and/or during thoracic surgery with single lung ventilation on patients with poor reserves.
  • the level of arterial oxygenation can be measured either directly by blood gas sampling to measure partial pressure (Pa02) and percentage saturation (Sa02) or indirectly by pulse oximetry (Sp02).
  • the content (or concentration) of oxygen in arterial blood may be expressed in mL of oxygen per 100 mL or per L of blood.
  • the maximum volume of oxygen that the fully saturated blood with a Hgb of 15 gm can carry is approximately 20 mL (oxygen) per 100 mL blood.
  • Sa02 may refer to the arterial oxygen saturation. It may be measured on an arterial blood sample (by spectrophotometry with a multi-wavelength co-oximeter, based on the absorption of light at several different wavelengths). It may depict the overall percentage of binding sites on haemoglobin that are occupied by oxygen. For healthy individuals in breathing room air at sea level, Sa02 may be between 96% and 98%.
  • One advantage of the arterial sample is that it may provide values for C02, pH, and bicarbonates for acid-bases status.
  • SP02 may be an indirect measurement of Sa02 by pulse oximetry, for example, based on the absorption of light by pulsating arterial blood at two specific wavelengths that correspond to the absorption peaks of oxygenated and deoxygenated haemoglobin. Generally, SP02 may be reliable when oxygen saturation is greater than 88%.
  • Examples of some base line status parameters/conditions of a breathing room air condition for a healthy person may be as follows:
  • Hyperbaric oxygen therapy may be limited by toxic oxygen effects to a maximum pressure of 300kPa (3 bar).
  • “about,” “approximately” and “substantially” are understood to refer to numbers in a range of numerals, for example the range of -10% to +10% of the referenced number, preferably -5% to +5% of the referenced number, more preferably -1% to +1% of the referenced number, most preferably -0.1% to +0.1% of the referenced number.
  • these numerical ranges should be construed as providing support for a claim directed to any number or subset of numbers in that range. For example, a disclosure of from 1 to 10 should be construed as supporting a range of from 1 to 8, from 3 to 7, from 1 to 9, from 3.6 to 4.6, from 3.5 to 9.9, and so forth.
  • All or some of the disclosed methods and procedures described in this disclosure can be implemented, at least in part, using one or more computer programs or components. These components may be provided as a series of computer instructions on any conventional computer readable medium or machine readable medium, including volatile and non-volatile memory, such as RAM, ROM, flash memory, magnetic or optical disks, optical memory, or other storage media.
  • the instructions may be provided as software or firmware, and may be implemented in whole or in part in hardware components such as ASICs, FPGAs, DSPs, or any other similar devices.
  • the instructions may be configured to be executed by one or more processors or other hardware components which, when executing the series of computer instructions, perform or facilitate the performance of all or part of the disclosed methods and procedures.

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Abstract

Un système de hotte à oxygène hyperbare portable (PHBO) comprenant une hotte principale, un manchon de col conçu pour être disposé en-dessous de la hotte principale, un système de pompe conçu pour réguler une pression dans la hotte principale afin de créer un environnement hyperbare dans le système de hotte PHBO, et un dispositif de commande intelligent. Le système de pompe comprend une pompe et une conduite d'écoulement conçue pour alimenter de l'oxygène à la hotte principale par l'intermédiaire de la pompe. Le dispositif de commande intelligent est conçu pour recevoir une valeur de saturation en oxygène d'un patient, recevoir une valeur de concentration en oxygène de la conduite d'écoulement, déterminer une pression cible de la hotte principale sur la base de la valeur de saturation en oxygène et de la valeur de concentration en oxygène, et réguler le système de pompe pour changer la pression de la hotte principale vers la pression cible.
EP22816531.2A 2021-06-03 2022-06-03 Hotte à oxygène hyperbare portable (phbo) pour patients atteints de la covid-19 Pending EP4346964A1 (fr)

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PCT/QA2022/050012 WO2022255895A1 (fr) 2021-06-03 2022-06-03 Hotte à oxygène hyperbare portable (phbo) pour patients atteints de la covid-19

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US3889670A (en) * 1974-01-02 1975-06-17 Steven R Loveland Non-invasive hyperbaric ventilator
US5315990A (en) * 1991-12-30 1994-05-31 Mondry Adolph J Method for delivering incremental doses of oxygen for maximizing blood oxygen saturation levels
ITMI20020121A1 (it) * 2002-01-24 2003-07-24 Starmed S R L Perfezionamenti in cashi per la respirazione artificiale senza l'ausilio di maschere
SE0401208D0 (sv) * 2004-05-10 2004-05-10 Breas Medical Ab Multilevel ventilator
US20080029096A1 (en) * 2006-08-02 2008-02-07 Kollmeyer Phillip J Pressure targeted ventilator using an oscillating pump
US9737450B2 (en) * 2013-09-04 2017-08-22 Microbaric Oxyygen Systems, Llc Hyperoxic therapy systems, methods and apparatus

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